Volume 11, Issue 1, 2018

Modeling Enterprise Risk Management in Operations and Supply Chain: A Pharmaceutical Firm Context

Chris I. Enyinda

Abstract Full PDF Cite DOI: 10.31387/oscm0300195

The growing prevalence of disruptive influences in modern operations and supply chains has called for a systematic approach to identify risk sources and to develop predictive enterprise risk management. This imperative has become a top priority for many organizations such as the pharmaceutical industry. This paper leverages a multi-criteria decision making methodology to model enterprise risk management in a focal pharmaceutical firm operations and supply chain. Six types of risks and five strategies are considered and analyzed. Results suggest that supply chain executives attach great importance to regulation/legislation, followed by operational, and reputation risks, while financial, market, and relationship risks ranked low in importance. With respect to enterprise risk management strategies, risk reduction/mitigation was considered the best option followed by risk avoidance option. From the results, it appears that multi-criteria decision making methodology can be used to assist supply chain executives in developing a priority hierarchy for risk management strategies. It can also help the management with a step-by-step approach to identify, assess, and manage portfolio of risks that can be detrimental to their pharmaceutical supply chain performance, brand equity, profit growth, and shareholder value.

BibTeX
APA

@article{oscm-2018-259,
  title={Modeling Enterprise Risk Management in Operations and Supply Chain: A Pharmaceutical Firm Context},
  year={2018},
  author={Chris I. Enyinda},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={11},
  number={1},
  pages={1--12},
  doi={10.31387/oscm0300195}
}

Chris I. Enyinda (2018). Modeling Enterprise Risk Management in Operations and Supply Chain: A Pharmaceutical Firm Context. Operations and Supply Chain Management: An International Journal, 11(1), 1-12. https://doi.org/10.31387/oscm0300195

A Study on the Maritime Transport Network Design under Different Charter Rates: The Case of LNG Transport between Qatar and Turkey

Salem Y. Lakhal

Abstract Full PDF Cite DOI: 10.31387/oscm0300196

Many indicators show that the total global LNG demand has risen by an estimated 7.6% per year since 2000. Over the same period, the growth is almost three times faster compared to the natural gas growth estimated at 2.7% per year. As a consequence, the number of the LNG tankers trip from and to the production fields and the consumptions area is growing. The challenge is to design a cost efficient maritime route for an LNG tankers. This article investigates: (i) how, the frequent fluctuation of the Bunker price, the Suez Canal tolls, terrorism activities etc. might affect decision of the LNG Tankers maritime routes and (ii) suggest a framework to help the redesign of a maritime transport routes for LNG vessels. To illustrate this framework developed, the case of the LNG transport between Qatar and Turkey is analysed with an extension made to a maritime route from Asia to Europe. The paper's contribution to the literature is the development of a routing scheme design achieving LNG handling cost savings from Asia to Europe.

BibTeX
APA

@article{oscm-2018-260,
  title={A Study on the Maritime Transport Network Design under Different Charter Rates: The Case of LNG Transport between Qatar and Turkey},
  year={2018},
  author={Salem Y. Lakhal},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={11},
  number={1},
  pages={13--25},
  doi={10.31387/oscm0300196}
}

Salem Y. Lakhal (2018). A Study on the Maritime Transport Network Design under Different Charter Rates: The Case of LNG Transport between Qatar and Turkey. Operations and Supply Chain Management: An International Journal, 11(1), 13-25. https://doi.org/10.31387/oscm0300196

Pursuing Sustainability via Reverse Logistics: The Symbiosis Effect Between the Local Authorities and Householders

Emy E. A. Jalil

Abstract Full PDF Cite DOI: 10.31387/oscm0300197

This paper reveals how factors associated with household recycling systems affect household recycling behaviour, and how household recycling behaviour affects the provision of household recycling systems by the local authorities (LA). The main objective is to reveal and explain the interaction and symbiosis effects between household recycling system and household recycling behaviour. Using a mixed methodology stance, the first approach is a qualitative research stage supported the symbiosis effect between the LAs and the householders. The second approach is quantitative research stage employed multiple regression analysis that juxtaposed the existence of interactions between personal factors and situational factors which the representation of LAs and the householders respectively. Finally, co-examination between the first and second stages revealed the need to use symbiosis effect perspective in understanding backward movement between householders and household recycling waste systems. This study has found that a "symbiosis effect" perspective appears to be a robust framework to bring together effective household waste recycling systems and sustainable development considerations to enhance both sustainability and the economy. Further, the study provides empirical evidence examining both situational and personal factors of households and their interactions, which were previously not well-understood. This study has incorporated behavioral aspects in the reverse logistics process that should help improve the LAs’ planning processes.

BibTeX
APA

@article{oscm-2018-261,
  title={Pursuing Sustainability via Reverse Logistics: The Symbiosis Effect Between the Local Authorities and Householders},
  year={2018},
  author={Emy E. A. Jalil},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={11},
  number={1},
  pages={26--35},
  doi={10.31387/oscm0300197}
}

Emy E. A. Jalil (2018). Pursuing Sustainability via Reverse Logistics: The Symbiosis Effect Between the Local Authorities and Householders. Operations and Supply Chain Management: An International Journal, 11(1), 26-35. https://doi.org/10.31387/oscm0300197

Role of Big Data in Decision Making

Shirish Jeble
Sneha Kumari
Yogesh Patil

Abstract Full PDF Cite DOI: 10.31387/oscm0300198

Information systems coupled with internet, cloud computing, mobile devices and Internet of Things have led to massive volumes of data, commonly referred as big data. It includes mix of structured, semi-structured and unstructured real-time data, constituting of data warehouse, OLAP, ETL and information. Business firms and academicians have designed unique ways of tapping value from big data. There is a great scope of using large datasets as an additional input for making decisions. The aim of the paper is to explore the role of big data in these areas for making better decisions. Here we explore how big data can be used to make smart and real-time decisions for improving business results. The paper undergoes literature review and secondary data to provide a conceptual overview of potential opportunities of big data in decision making. The paper discusses the concept of big data, its role in decision making and also the competitive advantage of big data for different firms. The paper also discusses a framework for managing data in decision making. The topic must be addressed for taking better decisions for firms which will contribute to high quality knowledge.

BibTeX
APA

@article{oscm-2018-262,
  title={Role of Big Data in Decision Making},
  year={2018},
  author={Shirish Jeble and Sneha Kumari and Yogesh Patil},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={11},
  number={1},
  pages={36--44},
  doi={10.31387/oscm0300198}
}

Shirish Jeble, Sneha Kumari, Yogesh Patil (2018). Role of Big Data in Decision Making. Operations and Supply Chain Management: An International Journal, 11(1), 36-44. https://doi.org/10.31387/oscm0300198

Logistics Capability, Supply Chain Uncertainty and Risk, and Logistics Performance: An Empirical Analysis of Australian Courier Industry

Michael Wang
Ferry Jie
Ahmad Abareshi

Abstract Full PDF Cite DOI: 10.31387/oscm0300200

The purpose of this paper is to examine the applicability of logistics capability for mitigating supply chain uncertainty and risk and improving logistics performance in the Australian courier industry. Based on the resource-based view, a quantitative research study is designed to investigate the relationships among three latent variables: logistics capability, supply chain uncertainty and risk, and logistics performance. Structural equation modelling is used to analyse the data. The results indicate that there are significant relationships between logistics capability, supply chain uncertainty and risk, and logistics performance. The results provide insights into supply chain uncertainty and risk management. This paper provides empirical support for the resource-based view as it applies to mitigating supply chain uncertainty and risk management in the Australian courier industry. These findings suggest that managers might develop and deploy logistics capability to support and enable supply chain risk management strategies.

BibTeX
APA

@article{oscm-2018-263,
  title={Logistics Capability, Supply Chain Uncertainty and Risk, and Logistics Performance: An Empirical Analysis of Australian Courier Industry},
  year={2018},
  author={Michael Wang and Ferry Jie and Ahmad Abareshi},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={11},
  number={1},
  pages={45--54},
  doi={10.31387/oscm0300200}
}

Michael Wang, Ferry Jie, Ahmad Abareshi (2018). Logistics Capability, Supply Chain Uncertainty and Risk, and Logistics Performance: An Empirical Analysis of Australian Courier Industry. Operations and Supply Chain Management: An International Journal, 11(1), 45-54. https://doi.org/10.31387/oscm0300200

Volume 11, Issue 1, 2018

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